Energy and environmental problems have attracted attention worldwide.Energy consumption in residential sectors accounts for a large percentage of total consumption.Several retrofit schemes, which insulate building envelopes to increase energy efficiency, have been adapted to address residential energy problems.However, these schemes often fail to b
Background: Petrochemical industry has experienced a variety of accidents and the number of emergency situation Stickers in this industry is high.Therefore, prioritizing these situations is important.The aim of this study was to determine the effective criteria for the selection of emergency scenario and prioritize them for corrective actions.Subje
Neural networks have been used in various computer vision applications, including noise removal.However, removing seismic noise via deep learning approaches faces a specific issue: the scarcity of labeled data.To address this difficulty, this work introduces an adaptation of the Noise2Self algorithm featuring a one-shot learning approach tailored f